Literature DB >> 18795940

Quantitative analysis of hTERT mRNA levels in cells microdissected from cytological specimens.

Hayato Fujita1, Kenoki Ohuchida, Kazuhiro Mizumoto, Takuya Egami, Yoshihiro Miyasaka, Hiroshi Yamaguchi, Jun Yu, Lin Cui, Manabu Onimaru, Shunichi Takahata, Masazumi Tsuneyoshi, Masao Tanaka.   

Abstract

Clinicians frequently require cytopathological assessment of tumor samples for preoperative diagnosis, but in some specimens, diagnosis remains inconclusive after cytological examination. To date, several molecular markers, including human telomerase reverse transcriptase (hTERT), have been assessed for the ability to detect malignancy. However, analyses using whole cytological specimens are generally affected by contamination of untargeted cells. The present study investigated the feasibility of more sensitive examination by quantitative mRNA analysis of target cells microdissected from cytological specimens. Laser capture microdissection (LCM) was used to obtain target cells from cytological specimens. hTERT mRNA levels were then measured in target cells by quantitative real-time RT-PCR (qRT-PCR). The effect of RNA fragmentation on qRT-PCR was also assessed. Total RNA from cytological specimens was sometimes fragmented to a large degree. To avoid the effect of RNA fragmentation, gene specific priming and PCR primers generating short PCR products were used and no difference in delta Ct values between fragmented and non-fragmented RNA were found. hTERT mRNA levels were measured in cells microdissected from 33 cytological specimens. The levels of hTERT mRNA were significantly higher in malignant cases compared to those in non-malignant cases (P = 0.0003). The sensitivity was 96.2%, even when the specificities were 100%. High levels of hTERT mRNA were also found in three cases that were not diagnosed as malignant by cytological examination. Quantitative assessment of hTERT mRNA levels in cells microdissected from cytological specimens is a potential diagnostic tool to potentiate cytological examination in diagnosing malignancy.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18795940     DOI: 10.1111/j.1349-7006.2008.00930.x

Source DB:  PubMed          Journal:  Cancer Sci        ISSN: 1347-9032            Impact factor:   6.716


  3 in total

1.  Gene expression levels as predictive markers of outcome in pancreatic cancer after gemcitabine-based adjuvant chemotherapy.

Authors:  Hayato Fujita; Kenoki Ohuchida; Kazuhiro Mizumoto; Soichi Itaba; Tetsuhide Ito; Kohei Nakata; Jun Yu; Tadashi Kayashima; Ryota Souzaki; Tatsuro Tajiri; Tatsuya Manabe; Takao Ohtsuka; Masao Tanaka
Journal:  Neoplasia       Date:  2010-10       Impact factor: 5.715

2.  Spatiotemporal expression of postsynaptic density 95 in rat retina after optic nerve injury.

Authors:  Chen Li; Yi Zhou; ZhiQiang Liu; JingSheng Tuo; Nan Hu; HuaiJin Guan
Journal:  J Mol Neurosci       Date:  2011-09-17       Impact factor: 3.444

3.  Human equilibrative nucleoside transporter 1 and Notch3 can predict gemcitabine effects in patients with unresectable pancreatic cancer.

Authors:  K Eto; H Kawakami; M Kuwatani; T Kudo; Y Abe; S Kawahata; A Takasawa; M Fukuoka; Y Matsuno; M Asaka; N Sakamoto
Journal:  Br J Cancer       Date:  2013-03-14       Impact factor: 7.640

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.